A new spatial transcriptomic approach captures the regulation of splicing and polyadenylation sites during pubescent brain development at near-single-cell resolution. An international collaboration, ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

Transcriptomic phenotyping offers mechanistic insight into adipocyte biology and metabolic disease. A signature of adipocyte ...

Computational assessment identifies probe binding errors in a widely used commercial platform for spatial transcriptomics.

Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the efficiency of single-cell transcriptomic workflows. Single-cell ...

Visualization in the UMAP space of samples corresponding to the subtypes ER+ (a), HER2+ (b), and TN (c). The samples were categorized by cancer subtype and integrated. Cells are color-coded according ...

Real-time nanopore transcriptomics enables early detection of expression changes and sample quality, offering a rapid, cost-effective strategy for experimental quality control and transcriptomic ...

Preliminary results of tumor-informed minimal residual disease detection in pancreatic cancer patients following curative resection and FOLFIRINOX adjuvant chemotherapy.

Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...